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95 public repositories
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An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
Python interface for the SCIP Optimization Suite
Updated
Sep 2, 2020
Python
Package to call the NLopt nonlinear-optimization library from the Julia language
Updated
May 14, 2020
Julia
A JuMP-based Nonlinear Integer Program Solver
Updated
Aug 10, 2020
Julia
A solver for mixed-integer convex optimization
Updated
Feb 16, 2020
Julia
Lightweighted graph optimization (Factor graph) library.
Data Structures for Optimization Models
Updated
Aug 25, 2020
Julia
nonlinear control optimization tool
Updated
Aug 18, 2020
Julia
An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.
HPC solver for nonlinear optimization problems
[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
Updated
Jul 5, 2020
Python
MATLAB implementations of a variety of nonlinear programming algorithms.
Updated
Aug 9, 2017
MATLAB
Matlab interface for sparse nonlinear optimizer SNOPT
Updated
Jan 17, 2020
MATLAB
Riemannian stochastic optimization algorithms: Version 1.0.3
Updated
May 31, 2019
MATLAB
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot
Updated
Mar 18, 2017
MATLAB
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
Updated
Aug 1, 2019
Python
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
Updated
Oct 18, 2019
Python
Python-based Derivative-Free Optimization with Bound Constraints
Updated
Apr 21, 2020
Python
Simplicial Homology Global Optimization
Updated
Jul 27, 2020
Python
A toolbox for trajectory optimization of dynamical systems
Updated
Feb 2, 2020
Python
DFO-GN: Derivative-Free Optimization using Gauss-Newton
Updated
Jul 8, 2019
Python
A JVM wrapper for the popular SLSQP optimizer
Updated
Mar 11, 2020
Java
Python-based Derivative-Free Optimizer for Least-Squares
Updated
Feb 12, 2020
Python
Building/Packaging SLAM Libraries with conda
Updated
Apr 12, 2018
CMake
A Cutting-Plane Based Solver for Convex NLPs
Updated
Aug 17, 2018
Julia
Successive Linearization Model Predictive Control
Updated
Feb 3, 2018
MATLAB
Derivative-free nonlinear global optimizer with python interface
Presentations of the advanced topics in optimization
Updated
Oct 30, 2019
Jupyter Notebook
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Hi! I am very new to Rust, so I apologize if this ends up being a naive question.
So, for my robot motion optimization application, I have created an objective function and gradient function in the required format using closures, but the closure types are FnMut’s rather than Fn’s. This leads to the compiler complaining since the OpEn library forces the objective and gradient functions to be F